一种基于两阶段博弈的虚拟电厂能源优化调度方法
By constructing a virtual power plant energy management architecture based on two-stage game theory, the transaction price and resource allocation are optimized, solving the problem of low resource scheduling efficiency in virtual power plants, realizing efficient resource combination and risk management, and improving the economic benefits and risk management capabilities of virtual power plants.
Patent Information
- Application Number
- CN202510440923.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2045-04-09
AI Technical Summary
Existing virtual power plant control methods have low computational efficiency during resource scheduling, making it difficult to achieve flexible combination and optimal allocation of resources, resulting in low economic benefits, low risk management, and low energy management efficiency.
A virtual power plant energy optimization scheduling method based on two-stage game theory is adopted to construct a resource-unit-platform type virtual power plant energy management architecture. Through master-slave game model and generalized Nash negotiation cooperative game model, the transaction price and resource allocation are optimized, and risk management is carried out by combining conditional value of risk.
It enables efficient scheduling and optimized allocation of distributed energy resources, improves the economic benefits and risk management capabilities of virtual power plants, solves the computational bottleneck and lack of overall coordination in traditional control methods, and improves resource utilization efficiency and returns.
Smart Images
Figure CN120300926B_ABST
Abstract
Citation Information
Patent Citations
Multi-virtual power plant energy optimization method and device based on energy-carbon sharing
CN119398435A